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A comparison study of supervised learning techniques for the approximation of high dimensional functions and feedback control
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2024
Online
DOI: 10.48550/arXiv.2402.01402
DOI: 10.18154/RWTH-2024-02871
URL: https://publications.rwth-aachen.de/record/981225/files/981225.pdf
Einrichtungen
- Lehrstuhl für Angewandte Mathematik und Institut für Geometrie und Praktische Mathematik (111410)
- Fachgruppe Mathematik (110000)
Inhaltliche Beschreibung (Schlagwörter)
High-Dimensionality (frei) ; Kernel Methods (frei) ; Neural Networks (frei) ; Optimal Control (frei) ; Tensor Trains (frei)
OpenAccess: 
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Dokumenttyp
Preprint
Format
online
Sprache
English
Externe Identnummern
arXiv: arXiv:2402.01402
Interne Identnummern
RWTH-2024-02871
Datensatz-ID: 981225
Beteiligte Länder
Germany, Italy
Related:
Journal Article/Contribution to a book
A Comparison Study of Supervised Learning Techniques for the Approximation of High Dimensional Functions and Feedback Control
Dynamic games and applications : DGA 15(2), 454-480 (2024) [10.1007/s13235-024-00610-6] special issue: "Special Issue on: Optimal control and differential games: theory, numerics and applications. In memory of Maurizio Falcone / Issue Editors: Martino Bardi, Fabio Camilli, Francisco Silva"
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